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Two-Stage Optimal Dispatch for Integrated Energy System with Oxy-Combustion Based on Multi-Energy Flexibility Constraints PENG Chuxuan, BIAN Xiaoyan, JIN Haixiang, LIN Shunfu, XU Bo, ZHAO Jian Journal of Shanghai Jiao Tong University    2025, 59 (9): 1281-1291.   DOI: 10.16183/j.cnki.jsjtu.2023.487 Abstract （1247）   HTML （3）    PDF（pc） （2004KB）（5261）       Knowledge map    Save As one of the most promising carbon capture technologies for coal-fired power plants, oxy-fuel combustion provides a new solution for improving the flexibility of the integrated energy system (IES) and reducing carbon emissions. In this paper, a two-stage optimal dispatch strategy for the integrated energy system with oxy-fuel combustion units considering the constraints of multi-energy flexibility is proposed based on the intergration of oxy-fuel combustion technology and the optimal operation of the integrated energy system. First, a model of integrated energy system with oxy-fuel combustion (Oxy-IES) is established. Then, a matrix model of multi-energy flexibility constraints for Oxy-IES is proposed to reveal the supply and demand relationship of flexibility within the system. Finally, a two-stage optimization dispatch strategy for Oxy-IES is constructed, in which the output of each unit is optimized to minimize the daily operating cost of carbon trading in the day-ahead stage, while the rapid variable load capacity of the oxy-fuel combustion unit improves the flexibility of the system in the intraday stage. The simulation results of Oxy-IES show that the proposed strategy can improve the flexibility and economy performance of the IES while reducing carbon emissions. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Renewable Energy Consumption Strategies of Power System Integrated with Electric Vehicle Clusters Based on Load Alignment and Deep Reinforcement Learning LIU Yanhang, QIAO Ruyu, LIANG Nan, CHEN Yu, YU Kai, WU Hanxiao Journal of Shanghai Jiao Tong University    2025, 59 (10): 1464-1475.   DOI: 10.16183/j.cnki.jsjtu.2023.529 Abstract （233）   HTML （0）    PDF（pc） （3345KB）（3455）       Knowledge map    Save As China accelerates the construction of power systems with renewable energy as the mainstay, the large-scale integration of renewables has led to prominent issues such as wind and light curtailment. To improve the utilization of new energy consumption in power systems, this paper proposes a novel renewable energy consumption method based on load alignment and deep reinforcement learning. First, it proposes a node load line formation model based on linearized power flow calculations, which can guide adjustable loads to shift the electricity consumption period, thereby promoting the improvement of new energy consumption. Unlike the direct current (DC) power flow model, the proposed alternating current (AC) model accounts for voltage constraints and other related constraints of the power system. Compared with other AC power flow models, this model linearizes all nonlinear constraints and has lower computational costs. Then, this paper constructs a market framework for load alignment mechanism. The framework involves three main entities: independent system operators, regional power grid sellers, and electric vehicle adjustable load aggregators. It also explores the solution for load alignment incentive prices using electric vehicle clusters as adjustable loads. As the solution of the load benchmark incentive price involves a master-slave game between three entities, conventional mathematical analysis methods face high complexity. Therefore, it employs deep reinforcement learning algorithm to solve the problem. The deep reinforcement learning algorithm takes the marginal electricity price of each node as state space, the load benchmark incentive price as action space, and the cost of regional power grid sellers as feedback. The agent can find the load line incentive price that maximizes the benefits of regional power grid sellers after continuous training. Finally, the example analysis shows that the load alignment mechanism not only effectively promotes the improvement of new energy consumption level, but also enhances the interests of independent system operators, regional power grid sellers, and electric vehicle aggregators. The results further confirm that the deep reinforcement learning algorithm maximizes the benefits of regional power grid sellers. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Short-Term Carbon Emission Accounting Method for Power Industry Using Electricity Data Based on a Combined Model of CNN and LightGBM ZENG Jincan, HE Gengsheng, LI Yaowang, DU Ershun, ZHANG Ning, ZHU Haojun Journal of Shanghai Jiao Tong University    2025, 59 (6): 746-757.   DOI: 10.16183/j.cnki.jsjtu.2023.382 Abstract （2238）   HTML （9）    PDF（pc） （6089KB）（3278）       Knowledge map    Save The electric power industry plays a pivotal role in carbon emission control. Accurate and real-time accounting of carbon emissions in the power industry is essential for supporting the carbon reduction of the power industry. At present, the measurement of carbon emissions in the power industry relies mainly on direct measurement or the accounting methods, which often struggles to balance low measurement costs with real-time accuracy. Therefore, in this paper, the robust power data infrastructure in the power industry is leveraged and the correlation between electricity consumption and carbon emissions is explored to propose a short-term electricity-to-carbon method using machine learning methods based on historical data of electricity. This method utilizes convolutional neural networks (CNNs) for feature extraction, and light gradient boosting machine (LightGBM) for carbon emission estimation based on extracted features. Moreover, K-fold cross-validation is used in model training, with parameter optimization using grid search to enhance the generalization capability and robustness of the model. To validate the proposed method, it is compared with other machine learning models under the same data segmentation condition for daily and hourly data sets. The results indicate that the proposed model outperforms other models in both performance evaluation and the consistency between estimated and target values. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Transient Modeling and Characteristic Comparative Analysis of Grid-Forming VSC with and Without Current Control REN Xiancheng, LI Shangzhi, LI Yingbiao, HU Jiabing, XU Taishan, BAO Yanhong, WU Feng Journal of Shanghai Jiao Tong University    2025, 59 (7): 971-982.   DOI: 10.16183/j.cnki.jsjtu.2023.416 Abstract （1316）   HTML （8）    PDF（pc） （2357KB）（2447）       Knowledge map    Save As the support capacity of renewable energy generation equipment for the power grid needs enhancement, grid-forming control has attracted extensive attention, among which the virtual synchronous generator (VSG) has emerged as a key research frontier and is already being applied in engineering demonstration. Voltage source converter (VSC) with VSG as the synchronization link can be classified into voltage and current dual loop control and direct voltage control according to whether there is a current control loop in the structure. The difference in the two control structures has a significant impact on the transient characteristics of VSC. To study the difference between transient characteristics of two kinds of VSCs, the transient models are developed based on the “power excitation-internal voltage response” model, and the formation mechanism of internal voltage and transient characteristics are comparatively analyzed. Since the VSG simulates the operation characteristics of the synchronous machine, the equivalent inertia and equivalent damping of the VSC are analytically obtained at the electromechanical scale, and their transient behaviors are compared. It is found that the equivalent inertia and damping of a VSC with direct voltage control remain constant, while those of a VSC with voltage and current dual loop control exhibit time-varying characteristics and are numerically smaller than of the direct voltage control system. Finally, the validity of the theoretical analysis is confirmed by electromagnetic transient simulation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Detection of Roadside Vehicle Parking Violations Under Random Horizontal Camera Condition ZHAN Zehui, ZHONG Ming’en, YUAN Bingan, TAN Jiawei, FAN Kang Journal of Shanghai Jiao Tong University    2025, 59 (10): 1568-1580.   DOI: 10.16183/j.cnki.jsjtu.2023.578 Abstract （371）   HTML （0）    PDF（pc） （46166KB）（2399）       Knowledge map    Save Investigation and punishment of vehicle parking violations is important in urban traffic management. Considering the time-consuming and labor-intensive nature of manual law enforcement, as well as the limited scope of fixed camera monitoring and detecting, exploring more flexible and efficient automatic detection methods has a great practical significance. Thus, a cruise detection technology is proposed, which is suitable for mobile carriers requiring no stopping and can be completed in a single pass. First, a vehicle parking violation image dataset named XMUT-VPI is collected and constructed under the conditions of approximate horizontal views and random shooting angles, laying a data foundation for the research. Then, a multitask parking network (MTPN) is constructed as an encoder to extract the key element information required for stop violation judgment. With the aid of the self-designed deformable large kernel feature aggregation module (DLKA-C2f) and cross-task interaction attention mechanism (CTIAM), a highest average detection accuracy of 90.3%, a minimum average positioning error of 4.4%, and a suboptimal average segmentation intersection ratio accuracy of 78.5% are achieved. Finally, an efficient decoder is designed to further extract the skeleton features of the parking space line and fit the visible area of the main parking space, which helps match the target vehicle and analyzes the positional condition between its tire ground-touching points and the main parking space. In addition, a judgment principle is provided for three typical behaviors of illegal parking, improper parking, and standardized parking. Experimental results show that the algorithm attains a comprehensive accuracy rate of 98.1% for vehicle parking violation detections across diverse complex interference scenarios, which outperforms existing mainstream methods and can provide technical supports for fully automate road cruise management of parking violatic. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research Progress of Resin Matrix Composites for Air Defense Missiles CHEN Xue, ZHU Longyu, XUE Qinyang, WANG Kexiang, HAN Zhilin, LUO Chuyang Air & Space Defense    2024, 7 (6): 76-95.   Abstract （1873）      PDF（pc） （3146KB）（2351）       Knowledge map    Save Lightweight design is a dominant development trend in advanced air defense missile systems. Resin matrix composites, with the advantages of being lightweight, high strength, high-temperature resistant, corrosion-resistant, and designable, play a key role in promoting the lightweight design of missiles. This paper has reviewed the research progress and current applications of thermoset and thermoplastic composites in air defense missiles. It comprehensively provides an overview of the application progress and development prospects of resin matrix composites in typical missile components, offering insights into the future development of these materials. Related Articles | Metrics | Comments（0）

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Conspiracy of Narrative and Theory: The Implicit Non-narrative Process in Nabokov’s Novels ZHANG Qiong Contemporary Foreign Languages Studies    2024, 24 (6): 147-157.   DOI: 10.3969/j.issn.1674-8921.2024.06.013 Abstract （254）   HTML （3）    PDF（pc） （1615KB）（2030）       Knowledge map    Save In his novels, Nabokov employs variations, alternative texts, symbols and metaphors to stimulate diverse thinking. By intertextuality and parodying classics, he breaks through the enclosed semantic field, with hidden narrative, discourse and plots constructing compound meanings. In parallel with the plot and resonate with each other. They differ from the explicit juxtaposed clues, fragmented subtexts, and the“implied author”affecting readers. Instead, it is more appropriate to refer them as “processes.” In narrative interspersed with commentary, the narration and commentary are independent and corresponding to each other only in fragments. However, Nabokov’s implicit non-narrative processes are embedded within the plot, latent in the form of story props, structural elements, line content, voiceovers, developing with the narrative and jointly contributing to the achievement of the creative theme. Reference | Related Articles | Metrics | Comments（0）

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Cascade Sliding Mode Decoupling Control of Coupled Inductor Single-Input Dual-Output Buck Converter Based on Super-Twisting Extend State Observer HUANG JinFeng, ZHANG Qian Journal of Shanghai Jiao Tong University    2025, 59 (5): 592-604.   DOI: 10.16183/j.cnki.jsjtu.2023.349 Abstract （1526）   HTML （2）    PDF（pc） （4220KB）（2013）       Knowledge map    Save To address the coupling effect between the output branches of the coupled inductor single-input dual-output (CI-SIDO) Buck converter, which leads to the cross-influence and thus affects the dynamic performance of the system, a cascaded sliding mode decoupling control strategy based on the super-twisting extend state observer (ST-ESO) is proposed. First, a state-space averaging model of the CI-SIDO Buck converter is established. Then, the coupling terms, internal perturbations, and unmodeled parts in the inner and outer loops of the converter are estimated by using the ST-ESO with a fast-convergence property, which are regarded as the total perturbations in the inner and outer loops. Next, the total perturbation in the inner and outer loops is compensated by using a super-twisting sliding mode controller to achieve the decoupling of the system and ensure the robustness of the system and the stability of the output voltage. Furthermore, the stability of the super-twisting extend state observer and super-twisting sliding mode controller is analyzed using the Lyapunov theory, providing theoretical verification of the feasibility of the control strategy. Finally, the proposed control strategy is experimentally validated on the experimental platform. The results show that the proposed control strategy realizes the decoupling of the system, suppresses the cross-influence and improves the dynamic performance of the system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Online Steady-State Scheduling of New Power Systems Based on Hierarchical Reinforcement Learning ZHAO Yingying, QIU Yue, ZHU Tianchen, LI Fan, SU Yun, TAI Zhenying, SUN Qingyun, FAN Hang Journal of Shanghai Jiao Tong University    2025, 59 (3): 400-412.   DOI: 10.16183/j.cnki.jsjtu.2023.344 Abstract （1767）   HTML （8）    PDF（pc） （4192KB）（1986）       Knowledge map    Save With the construction of new power systems, the stochasticity of high-proportion renewable energy significantly increases the uncertainty in the operation of the power grid, posing severe challenges to its safe, stable, and economically efficient operation. Data-driven artificial intelligence methods, such as deep reinforcement learning, are becoming increasingly important for regulating and assisting decision-making in the power grid in the new power system. However, current online scheduling algorithms based on deep reinforcement learning still face challenges in modeling the high-dimensional decision space and optimizing scheduling strategies, resulting in low model search efficiency and slow convergence. Therefore, a novel online steady-state scheduling method is proposed for the new power system based on hierarchical reinforcement learning, which reduces the decision space by adaptively selecting key nodes for adjustment. In addition, a state context-aware module based on gated recurrent units is introduced to model the high-dimensional environmental state, and a model with the optimization objectives of comprehensive operating costs, energy consumption, and over-limit conditions is constructed considering various operational constraints. The effectiveness of the proposed algorithm is thoroughly validated through experiments on three standard test cases, including IEEE-118, L2RPN-WCCI-2022, and SG-126. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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The Inter-disciplinarity of International and Regional Studies: With Views on the Integration of Disciplines of Foreign Languages and World History LI La, WANG Yuming Contemporary Foreign Languages Studies    2025, 25 (1): 191-201.   DOI: 10.3969/j.issn.1674-8921.2025.01.018 Abstract （319）   HTML （1）    PDF（pc） （1425KB）（1934）       Knowledge map    Save On September 14th, 2022, the Academic Degrees Committee of the State Council and the Ministry of Education issued the Catalogue of Graduate Education Subjects and Specialties (2022) and the Management Measures of the Catalogue of Graduate Education Subjects and Specialties, which officially declared International and Regional Studies to be established as a first-tier discipline under the category of interdisciplinary disciplines. It proves the necessity of integrating this discipline with other related disciplines. The interdisciplinary and multidisciplinary nature of area studies is mainly embodied in its definition and disciplinary distribution of the researchers involved, which can be concluded by sorting out the definitions made by different scholars at home and abroad, and analyzing the distribution of overseas research disciplines in the projects supported by the National Social Science Fund and the distribution of the humanities and social science projects funded by the Ministry of Education. According to the results, it can also be fourd that two disciplines of Foreign Languages and World History make major contributions to International and Regional Studies. Languages serve as indispensable tools, while the discipline of World History uses languages to study the history of various countries and regions in depth. Thus, it will be highly beneficial for the development of International and Regional studies to combine Foreign Languages Discipline with the discipline of World History through multiple degrees conferring, faculty sharing and building academic communities. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Capacity Planning and Operational Optimization for Low-Carbon Data Center Integrated Energy System Considering Exergy Efficiency LIN Jiayu, HAN Juntao, WANG Yongzhen, HAN Kai, HAN Yibo, LI Jian Journal of Shanghai Jiao Tong University    2025, 59 (9): 1327-1337.   DOI: 10.16183/j.cnki.jsjtu.2023.528 Abstract （1560）   HTML （2）    PDF（pc） （3820KB）（1836）       Knowledge map    Save With the rapid development of the digital economy, the energy consumption and carbon emissions of data centers (DCs) have significantly increased. In recent years, the construction of data center integrated energy systems (DC-IES) has emerged as one of the critical trends in energy conservation and emission reduction for DCs under the global net-zero emission initiative. To support the planning and construction of low-carbon DC-IES, this paper proposes a multi-objective optimization model for capacity allocation and operational planning of DC-IES, integrating energy and economic considerations with a focus on low-carbon performance. Based on the “quality” analysis method of exergy from the second law of thermodynamics, the model proposed comprehensively accounts for the dynamic exergy efficient characteristics of energy conversion devices under varying load conditions, revealing the energy flow distribution characteristics of DC-IES under different objectives. The computational results indicate that compared with the optimization scheme assuming constant equipment efficiency, the scheme considering dynamic equipment efficiency reduces energy loss rate, economic cost, and carbon emissions by 2.6%, 1.9%, and 4.8%, respectively, demonstrating clear advantages. Moreover, compared with the economically optimal scheme, the multi-objective optimization scheme significantly reduces carbon emissions and energy loss rate of the DC-IES by 22.72% and 20.73%, respectively. Furthermore, compared to the scheme scenarios with the minimum exergy loss rate and lowest carbon emissions, the multi-objective optimization scheme reduces economic costs by 54.54% and 60.78%, respectively. Compared with the scheme relying solely on grid electricity supply, the multi-objective optimization scheme that regards the DC as an integrated energy system can reduce carbon emissions by 40.97%. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Reactive Power-Voltage Droop Gain Online Tuning Method of Photovoltaic Inverters for Improvement of Stable Output Power Capability in Weak Grids WANG Yuyang, ZHANG Chen, ZHANG Yu, WANG Yiming, XU Po, CAI Xu Journal of Shanghai Jiao Tong University    2025, 59 (6): 845-856.   DOI: 10.16183/j.cnki.jsjtu.2023.353 Abstract （1889）   HTML （5）    PDF（pc） （7800KB）（1784）       Knowledge map    Save The active power output capability and small signal stability in weak grids are key factors that limit stable photovoltaic (PV) power generation. To improve stably generating PV power in weak grids, an adaptive control method for PV inverters based on online tuning of the reactive power-voltage (Q-V) droop gain is proposed. First, to ensure active power output capability in weak grids, a “first optimization” method for the Q-V droop gain is proposed, considering voltage and current constraints. Then, to address stability constraints in weak grids, impedance modeling and stability analysis of the PV inverter system are conducted. A mapping relationship between the “parameter-weakest pole” is established with the weakest pole of the closed-loop system as a stability constraint based on the artificial neural network. A “second adjustment” method for the Q-V droop gain is developed at stably generating active power. Combined with the extended Kalman-filter-based grid impedance estimation, the proposed Q-V droop gain adaptive tuning method is realized. The effectiveness of the proposed adaptive control method is validated on the Modeling Tech real-time simulation platform. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Research Progress in Antioxidation of Refractory High Entropy Alloys at High Temperatures CHEN Qiang, ZHU Jinwei, ZHAO Yuchen, LIU Wei, ZHANG Xiaobin, WU Yuan, LIU Xiongjun, WANG Hui, LYU Zhaoping Air & Space Defense    2024, 7 (6): 96-103.   Abstract （1369）      PDF（pc） （1140KB）（1751）       Knowledge map    Save High entropy alloys have been newly developed in recent years, among which the refractory high entropy alloys obtain excellent high-temperature mechanical properties, thus showing great potential application as structural materials at ultra-high temperatures. However, their low oxidation resistance at high temperatures limits the practical engineering applications. The conventional way to enhance oxidation resistance is alloying elements such as Al, Cr, Si and so on, but the additional amount is usually restricted by other factors, which greatly limits the oxidation resistance performance. The multi-component characteristics of high-entropy alloys allow them to be more likely to alloy more oxidation resistance-promoting elements. In this paper, the recent progress in improving the oxidation resistance of high-entropy alloys was reviewed. The approaches to improve the oxidation resistance of refractory high-entropy alloys were prospected via adding Al, Cr and Si elements and the formation of antioxidant coatings. Related Articles | Metrics | Comments（0）

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A Review of the Subtitle Translation of the Documentary Harmony Between Humanity and Nature Based on the Principles of Truth, Virtue and Beauty CUI Fengjuan, XIE Lin Contemporary Foreign Languages Studies    2024, 24 (6): 79-88.   DOI: 10.3969/j.issn.1674-8921.2024.06.007 Abstract （686）   HTML （5）    PDF（pc） （1699KB）（1659）       Knowledge map    Save Knowledge-centered translatology posits that translation is a process of globalization of local knowledge, which centers around knowledge construction. Subtitle translation of documentaries exemplifies this interaction and transfer between local and global knowledge. Guided by the principles of truth, virtue and beauty, this paper examines the subtitle translation of the documentary Harmony Between Humanity and Nature and explores the inherent mechanisms of subtitle translation in this work. By analyzing representative cases, we find that some translations of the documentary’s subtitles adhere to the principles of truth, virtue and beauty. Therefore, these translations convey authentic meanings, take into consideration the target audience, and meet the aesthetic standards of the target language. However, others do not follow these principles, which hinders the documentary’s international reach. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Deep Learning and Knowledge Infusion:An Inquiry into Path Construction for a Translation-Technology Teaching Model DAI Guangrong, SHEN Siyi, HUANG Dongliang Contemporary Foreign Languages Studies    2025, 25 (1): 125-138.   DOI: 10.3969/j.issn.1674-8921.2025.01.012 Abstract （411）   HTML （4）    PDF（pc） （1420KB）（1604）       Knowledge map    Save In the era of Language Intelligence, translation pedagogy ushers into a more diverse and complex landscape, knowledge within this system broadens deeper than ever, but students’ learning didn’t go to depth with the development of technology. The shallow learning-based education model is no longer suitable for the current translation pedagogy and its knowledge translation production and spreading. This paper aims to explore innovative pathways to address the predicament in talent cultivation. With Transknowletology as its core, this paper elucidates the concept, content and scope of deep learning and puts forward the model for translation technology education combined with deep learning and knowledge system. Lastly, this paper attempts to construct an efficient and scientific path of enhancing translation technological thinking skills, in a bid to enhance the knowledge translation development and acceptance. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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On the Dialectics of Constructing the Theory of Transknowletology LIU Junping Contemporary Foreign Languages Studies    2025, 25 (1): 96-111.   DOI: 10.3969/j.issn.1674-8921.2025.01.010 Abstract （531）   HTML （8）    PDF（pc） （1285KB）（1587）       Knowledge map    Save Professor Yang Feng, the founder of Transknowletology, put forward the proposition that “The fusion of knowledge in science, sociology and humanities will solve the puzzle and problem of classification anxiety for the translation discipline for the time to come. Translatology armed with the knowledge of natural sciences, social sciences and humanities will inevitably become a meta discipline or supra subject”(Yang Feng 2021:2). Proceeding from the insightful statement, we can observe that Transknowletology intends to integrate the resources and refine its key concepts and reformulate its epistemic framework from the above three disciplines based on complex system to construct the meta-knowledge of translatology. Thus, Transknowletology as general translatology will necessarily touch upon the knowledge and ideas of translatology, philosophy, sociology, cognition, hermeneutics. Through analysis and synthesis, construction and refining, it will become a meta-discipline for translation studies embodying both the logical facts and ethic values.If it intends to reach such a goal, Transknowletology must include epistemic concepts, paradigms and epistemic reintegration and reclassification on its road map so as to reformulate its model. On the epistemic structure, it should proceed from the onotology, methodology and teleology of epistemology, attach importance to the dialectics of methodology, integrate East-West epistemology,reorganize the internal and external knowledge of translatology, give weight to humanistic, aesthetic and ethic knowledge. Thus formulated, it will depart from the binary separation of knowledge to the existential and life world experiences. Consequently, it will lessen the tensions between the scientific rationality and humanistic reason. Based on the “ method of harmonious balance of Transknowletology ” and the logic of dialogue, the newly formed branch of learning will perfect its methodology of restructuring its knowledge base and will eventually deal with the ultimate concern of “what is a translator” so as to actualize the “Epistemic Turn” in contemporary Translation Studies. Reference | Related Articles | Metrics | Comments（0）

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Diagnosis and treatment of vascular anomalies in the era of precision medicine YANG Xiaonan, ZHANG Ye Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (6): 599-.   Abstract （194）      PDF（pc） （1038KB）（1519）       Knowledge map    Save Vascular anomalies are classified into hemangiomas and vascular malformations， representing a group of diseases that include （but not limited to） more than 30 types of hemangiomas， over 60 types of vascular malformations， and more than 20 syndromes related to vascular anomalies. Deepening understanding and improving diagnosis and treatment have always been the focus and difficulty in clinical work. With the continuous advancement of medical science and technology， the diagnosis and treatment of vascular anomalies are rapidly entering a new medical era-the era of precision medicine. Precision medicine relies on in-depth research of molecular mechanisms， advanced diagnostic technologies， personalized treatment plans and multidisciplinary diagnosis and treatment mode， and its clinical expansion and promotion in clinical practice have brought revolutionary changes to the diagnosis and treatment of vascular anomalies. In this paper， the progress and future development direction of the diagnosis and treatment of vascular anomalies in the era of precision medicine were reviewed. Related Articles | Metrics | Comments（0）

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Control Strategy for Improving Active Frequency Support Capability of Offshore Wind Farm LI Yibo, ZHOU Qian, ZHU Dandan, JIANG Yafeng, WU Qiuwei, CHEN Jian Journal of Shanghai Jiao Tong University    2025, 59 (10): 1442-1450.   DOI: 10.16183/j.cnki.jsjtu.2023.581 Abstract （248）   HTML （0）    PDF（pc） （1522KB）（1510）       Knowledge map    Save In low frequency alternating current (AC) transmission systems, offshore wind farm is unable to respond to changes in onshore grid frequency in a timely manner due to frequency decoupling and signal transmission delays between the offshore wind power system and the onshore AC system. To address this issue, a control strategy is proposed to improve the active frequency support capability of offshore wind farms by combining the system inertia. In terms of frequency signaling, an additional frequency sag controller is designed based on the V/f control strategy of the low-frequency-side structure network of modular multilevel matrix converter (M3C), combining with the system inertia. The frequency coupling link between the M3C net side and the low-frequency side is established to realize the real-time transmission of frequency information between the two sides. In terms of frequency support, when the system is disturbed to generate frequency deviation, the offshore wind turbine can adjust the power command value through additional droop control, thereby providing frequency support for the system. Finally, the effectiveness of the proposed coordinated control strategy is verified in MATLAB/Simulink by the simulation of load change and three-phase AC short circuit fault. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Research Progress in Power Materials and Technology for Aerospace SHANG Yanxin, QU Wenjie, REN Xuening, LU Hongbo, DU Wei, LI Li, WU Feng, CHEN Renjie Air & Space Defense    2024, 7 (6): 12-28.   Abstract （1585）      PDF（pc） （4146KB）（1485）       Knowledge map    Save The aerospace power subsystem, known as its “energy heart”, is responsible for key tasks such as efficient storage and accurate conversion of electrical energy. Its operational stability affects the smooth operation and overall effectiveness of each subsystem of the spacecraft. The increasing complexity of space missions and the intensification of extreme space environments have led to the need for continuous technological innovation and performance upgrades of power systems. Based on this, in this study, the materials and technologies development trends of solar cells, chemical batteries and other devices were reviewed domestically and abroad from the perspective of extreme environments, including radiation, alternating temperatures and high vacuum. Besides, the key challenges of power devices in the extreme aerospace environment were analyzed, and the potential aerospace mission application prospects were envisioned. This review provides a reference and inspiration for promoting the research and development of advanced aerospace power materials. Related Articles | Metrics | Comments（0）

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U.S. Army NIFC-CA Kill Chain System Simulation Design and Evaluation JIANG Ruiqi, XU Jinlong, NI Hanqi, SHI Xingyu, ZHANG Wei, HE Zishu Air & Space Defense    2024, 7 (5): 82-89.   Abstract （723）      PDF（pc） （1074KB）（1444）       Knowledge map    Save Given the problems of the difficulty in multi-platform kill chain simulation, unclear kill assessment indexes, and the lack of close integration with the actual scenarios, the practical implementation of the kill chain in combat situation simulations was studied using the U.S. Army's NIFC-CA kill chain. Firstly, the characteristic information of target nodes was designed, and customized reconnaissance node effectiveness evaluation indexes were designed for E-2D AWACS, F-35 fighter jets and Aegis ship platforms in the NIFC-CA kill chain. It associated the NIFC-CA kill chain with the reconnaissance nodes and also connected the reconnaissance node effectiveness evaluation indexes with the target node information, and evaluated the level of the reconnaissance node's effectiveness in the detection of different targets. Secondly, the influence nodes were introduced to characterize the interference of the reconnaissance node in the combat scenario and the anti-interference effectiveness level of the reconnaissance node itself. Then, the target node, influence node, and reconnaissance node were correlated using a state transfer matrix, and the reconnaissance node, command node, and strike node were correlated using dependency analysis of the Functional Dependency Network Analysis (FDNA), giving the quantitative value of the overall killing capability of different killing chains. Finally, the simulation design of the kill chain model was carried out in the form of an adjacency table. Related Articles | Metrics | Comments（0）

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A Review of Equivalent Model-Based State of Charge Estimation Algorithms of Lithium-Ion Battery TANG Diyin, WANG Yufu, ZHENG Wenjian, HUANG Xucong, XING Yalan Air & Space Defense    2024, 7 (6): 104-111.   Abstract （2107）      PDF（pc） （1086KB）（1391）       Knowledge map    Save Due to their high energy density and long life, Lithium-ion batteries are widely applied in fields such as aerospace and smart driving. Accurate estimation of the state of charge (SOC) of a battery is critical. In recent years, SOC estimation methods based on battery equivalent models have been widely used because oftheir advantages of accurate estimation and easy understanding. This paper has elaborated on the classification of battery equivalent models, SOC estimation algorithms, and factors affecting SOC estimation from three aspects. Firstly, the common types of battery models and their characteristics were analyzed; secondly, the commonly used SOC estimation techniques based on battery models were reviewed; finally, the factors affecting the accuracy of SOC estimation and possible solutions were analyzed. The summary of this paper provides references for future research. Related Articles | Metrics | Comments（0）

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Human-Machine Collaborative Intelligent Writings: Its Evolution and Implications LI Jingjie, CHEN Qiuyan Contemporary Foreign Languages Studies    2025, 25 (1): 73-83.   DOI: 10.3969/j.issn.1674-8921.2025.01.008 Abstract （844）   HTML （21）    PDF（pc） （1263KB）（1369）       Knowledge map    Save Artificially intelligent writing has become an irreversible trend. This article, from the perspective of human-machine collaboration, provides an assessment and comparison of artificial intelligence writing systems in three stages: the emergence stage of AI writing, the stage of diversified exploration, and the stage of comprehensive development. It analyzes the characteristics and development trends of human-machine collaboration in intelligent writing systems at different stages. Building upon this analysis, it discusses the progress, issues, and implications of human-machine collaborative intelligent writing systems in academic English writing and teaching in terms of the integration of writing assistance and revision assistance, dialogue-based interaction, comprehensive coverage of the writing process, and Man-Computer symbiosis. Reference | Related Articles | Metrics | Comments（0）

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Foreign Language Teaching and Professional Development of Foreign Language Teachers in the Era of AI: Challenges, Identity Tensions and Solutions XU Yueting, GU Yue Contemporary Foreign Languages Studies    2025, 25 (1): 60-72.   DOI: 10.3969/j.issn.1674-8921.2025.01.007 Abstract （1187）   HTML （10）    PDF（pc） （1301KB）（1349）       Knowledge map    Save Artificial intelligence (AI) represented by ChatGPT can not only promote learners to learn foreign languages but also improve teachers’ work efficiency and reduce their work burden. However, the educational revolution triggered by ChatGPT brings challenges to foreign language teaching and results in identity tensions to foreign language teachers. By reviewing research on the application of AI in the field of foreign language teaching and language teacher identity, this paper analyses challenges of foreign language teaching and teachers, identity tensions and solutions, and puts forward corresponding suggestions from three aspects, including teachers, schools, and government. This paper not only provides theoretical support and practical guidance for the implementation of AI-assisted teaching in the field of foreign language education but also has enlightenment for other subjects in dealing with teacher identity tensions and exploring the path of deep integration of AI and education. Reference | Related Articles | Metrics | Comments（0）

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Reconstruction of Ship Propeller Wake Field Based on Physics-Informed Neural Networks HOU Xianrui, ZHOU Xingyu, HUANG Xiaocheng Journal of Shanghai Jiao Tong University    2024, 58 (11): 1654-1664.   DOI: 10.16183/j.cnki.jsjtu.2023.101 Abstract （939）   HTML （18）    PDF（pc） （18611KB）（1321）       Knowledge map    Save Physics-informed neural networks (PINN) are applied to the reconstruction of the ship propeller wake field. First, the principle and basic framework of PINN were introduced. Then, the Burgers equation was selected to verify the feasibility of PINN in solving partial differential equations. After that, the propeller of KVLCC2 in open water is simulated using computational fluid dynamics (CFD) software STAR CCM+, and the flow field information of the KVLCC2 propeller is obtained. Based on the simulated flow field information data, the training sample set was constructed to train PINN. The trained PINN was used to infer the approximate solution of the governing equation at any time and space. Finally, the velocity and pressure distribution obtained by PINN were compared with the velocity and pressure distribution simulated by STAR CCM+. The results validate the reliability of PINN in propeller wake field reconstruction, which can be concluded that PINN can be applied to the reconstruction of the ship propeller wake field. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Fatigue Strength Analysis of Ship’s Welded Structures Based on Method of Notch Stress ZHEN Chunbo, LIU Shihao, ZHANG Aifeng, XING Shizhu, ZHANG Runze Journal of Shanghai Jiao Tong University    2025, 59 (4): 458-465.   DOI: 10.16183/j.cnki.jsjtu.2023.307 Abstract （1408）   HTML （6）    PDF（pc） （8884KB）（1318）       Knowledge map    Save To address the fatigue strength problem of ship structures, the notch stress method is applied to typical structural joints focusing on weld toe and weld root. First, the basic principles of notch stress method and the notch fatigue analysis process of ship structure are introduced. Then, six typical joint types are set up for the double bottom structure of a product oil tanker. The local notch stress analysis of the fatigue hot spot is conducted using the finite element sub-modeling technology, allowing the determination of the notch stress concentration factor at the weld toe and weld root. Finally, based on the harmonised common structural rules (HCSR), the fatigue load and load condition of the ship structure are calculated, and the fatigue analysis of six typical joint types is performed. The results show that under the same load conditions, the notch stress concentration factor at the weld toe of each hot spot is smaller than that at the weld root, and the joint type 3 has the lowest fatigue damage value among the joint types, which suggests this type can improve the fatigue resistance of the hull. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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A Fault Diagnosis Method for Wind Turbines Based on Zero-Shot Learning PAN Meiqi, HE Xing Journal of Shanghai Jiao Tong University    2025, 59 (5): 561-568.   DOI: 10.16183/j.cnki.jsjtu.2023.375 Abstract （1831）   HTML （14）    PDF（pc） （1123KB）（1293）       Knowledge map    Save In engineering practice, wind turbine fault diagnosis encounters situations where the fault category in the training data is different from the actual one. To diagnose unknown wind turbine faults, it is necessary to transfer the fault feature information learned during training to the unknown fault category. Unlike traditional methods that directly establish mapping between fault samples and fault categories, a zero-shot learning (ZSL) method for wind turbine fault diagnosis based on fault attributes is proposed to enable fault feature migration. A fault attribute matrix is established by describing the attributes of each fault, which is embedded into the fault sample space and fault category space. Then, a fault attribute learner is developed based on convolutional neural network (CNN), and a fault classifier is established based on Euclidean distance, forming the diagnosis process where fault attributes are predicted from fault samples and then classified. Finally, the effectiveness and superiority of the proposed fault diagnosis method are validated by comparing it with other zero-shot learning methods. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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An Improved Multi-Objective Evolutionary Algorithm for Grid Map Path Planning DONG Dejin, WANG Changcheng, CAI Yunze Journal of Shanghai Jiao Tong University    2025, 59 (10): 1558-1567.   DOI: 10.16183/j.cnki.jsjtu.2024.032 Abstract （338）   HTML （0）    PDF（pc） （4493KB）（1247）       Knowledge map    Save Multi-objective path planning on large-scale grid maps is characterized by a large number of nodes and multiple targets. Existing algorithms struggle to balance the speed and quality of solving the Pareto front (PF). Therefore, studying efficient optimization algorithms based on the PF has certain theoretical significance. First, a weighted graph modeling method based on cost vector is proposed, and optimization algorithms for solving large-scale problems are studied accordingly, which significantly saves time and costs compared with graph search algorithms. Then, to address the issue of low quality of the PF solutions, an improved multi-objective evolutionary algorithm is proposed, which includes a new initialization strategy. Individual and environment selection strategies are designed based on the concepts of angle and shift-based density. These improvements take both population diversity and convergence into account, thereby improving the solving efficiency. Finally, comparative simulation experiments are conducted to verify the effectiveness of the improved algorithm. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Optimization of Installed Wind Power Capacity Considering Dynamic Frequency Constraints and Multiple Uncertainties YE Jing, HE Jiehui, ZHANG Lei, CAI Junwen, LIN Yuqi, XIE Jihao Journal of Shanghai Jiao Tong University    2025, 59 (9): 1292-1303.   DOI: 10.16183/j.cnki.jsjtu.2023.474 Abstract （1651）   HTML （1）    PDF（pc） （1708KB）（1232）       Knowledge map    Save As the installed capacity of wind power continues to increase, the frequency security of new power system becomes increasingly significant. To guarantee the frequency security of the system, improve the frequency regulation capability of the system, and determine an optimal wind power installed capacity, a wind power installed capacity optimization model considering dynamic frequency constraints as well as load-side inertia is proposed. First, the dynamic frequency response model with load-side inertia is derived. Then, fuzzy opportunity constraints are introduced considering the uncertainty of wind power, load, and load-side inertia. Taking into account the dynamic frequency constraints, the model incorporates multiple uncertainty fuzzy opportunity constraints, in which the uncertainty constraints are clearly converted into equivalence classes. Finally, to address the dynamic frequency-constrained nonlinear characteristic, the optimization problem is partitioned into a main problem and sub-problems for solution. The validity and feasibility of the proposed model are validated by using an improved 10-machine system. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Progress Review and Technical Conception on the Digital Mission Engineering Research for Kill-Chain System-of-Systems WANG Weiping, CHEN Lu, WANG Junmin, LI Xiaobo, ZHU Zhi Air & Space Defense    2024, 7 (5): 8-17.   Abstract （524）      PDF（pc） （1355KB）（1223）       Knowledge map    Save Digital mission engineering (DME) is an advanced approach in the digital era. Based on the long-term research accumulations in Unmanned intelligent system-of-systems (SoS) design optimization, weaponry SoS modeling and simulation and digital decision engineering for strategic management, this paper has studied and explored the origin and progress of foreign military DME research, fusingwith recent domestic research practices in SoS engineering and SoS simulations. Finally, a technical conception of DME research methodsfor kill chain SoS from two aspects was proposed: overall requirement architecture and simulation deduction technology. Related Articles | Metrics | Comments（0）

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Current Development Status and Practice Dimensions of Model-Based Systems Engineering GU Zhichao, TAO Zhenji, FENG Nanhao, JIANG Haibo, CAI Binni Air & Space Defense    2024, 7 (5): 28-35.   Abstract （371）      PDF（pc） （1166KB）（1213）       Knowledge map    Save The inconsistencies and inadequacies of traceability in conventional systems engineering facing complexity have prompted the search for alternative methodologies. Model-Based Systems Engineering (MBSE) has been proposed as a promising solution, gaining widespread recognition in academia and industry. Leveraging mathematical models and graphical representations, MBSE supports a systematic unified description and analysis, shifting the paradigm from document-driven to model-driven. This approach enhances traceability, testability, and verifiability. This paper has comprehensively analysed MBSE practices from four perspectives: time, logic, knowledge, and organization, thus empowering engineers to better understand and apply MBSE in real-world engineering projects. Related Articles | Metrics | Comments（0）

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Modeling of Cloud-Edge Collaborated Electricity Market Considering Flexible Ramping Products Provided by VPPs PENG Chaoyi, CHEN Wenzhe, XU Suyue, LI Jianshe, ZHOU Huafeng, GU Huijie, NIE Yongquan, SUN Haishun Journal of Shanghai Jiao Tong University    2025, 59 (2): 186-199.   DOI: 10.16183/j.cnki.jsjtu.2023.240 Abstract （519）   HTML （6）    PDF（pc） （3279KB）（1178）       Knowledge map    Save Due to its load time shifting and power regulation capabilities, virtual power plants (VPPs) have the potential to participate in the electricity market and provide flexible ramping products (FRPs). However, it is hard for VPPs to make accurate bidding in the market, due to the uncertainty of their dispatching capability and system requirements. Therefore, a cloud-edge collaborated market architecture supporting VPPs participation in the electricity market and providing FRPs services is proposed, and the corresponding distributed optimization trading model is established. The market clearing process is completed through the collaborative interaction between the independent system operator and VPPs, which can accurately guide VPPs to optimize the electricity consumption and provide flexible climbing services. The distributed optimization model is iteratively solved using the analytical target cascading (ATC) method, and heuristic constraints are introduced to improve the convergence of the algorithm. Finally, the proposed method is evaluated by the simulation results of typical cases featuring the “duck-curve” net load, which demonstrate that the cloud-edge collaborated market can effectively reduce operating costs and promote the consumption of renewable energy. Table and Figures | Reference | Supplementary Material | Related Articles | Metrics | Comments（0）

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Multi-Objective Optimization Design of Micro-Site Selection of Complex Terrain Wind Farms Assisted by Proxy Model LIU Jiahui, WANG Cong, ZHANG Hongli, MA Ping, LI Xinkai, DONG Yingchao Journal of Shanghai Jiao Tong University    2025, 59 (9): 1315-1326.   DOI: 10.16183/j.cnki.jsjtu.2023.486 Abstract （1869）   HTML （5）    PDF（pc） （5456KB）（1175）       Knowledge map    Save To tackle the challenges of high difficulty and time-consuming micro-site optimization of wind farms in complex terrains, a multi-objective optimization method for micro-site selection is proposed, assisted by proxy model. First, considering the geographical features of complex terrains with significent undulations, the ruggedness index is calculated and the ground flatness is numerically quantified, constraining the points with excessive ruggedness. Then, a mathematical model for three-dimensional windy downward wake superposition calculation of power generation is established, a three-dimensional terrain collector line topology optimization agent model is constructed, and the prediction accuracy of the proxy model is verified, demonstrating the ability to replace numerous calculations in collector line topology optimization and effectively improving the computing efficiency. Finally, taking a real complex terrain wind farm in Xinjiang Uygur Autonomous Region, China as an example, multi-objective micro-site selection of complex terrain wind farm is realized, and the results are compared with those obtained through the single-objective optimization. The simulation results show that the multi-objective discrete state transfer algorithm assisted by the proxy model can reduce the total cable laying length, decrease the construction costs, and provide more feasible layout schemes while optimizing the annual power generation. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Overview of the Development and Design of Dynamic Cable for Floating Offshore Wind Power in China LIN Zeyin, WANG Yibing, LI Dongsheng Ocean Engineering Equipment and Technology    2024, 11 (4): 41-46.   DOI: 10.12087/oeet.2095-7297.2024.04.07 Abstract （384）      PDF（pc） （2023KB）（1163）       Knowledge map    Save In recent years, the global offshore wind power has developed rapidly. As nearshore resources become increasingly scarce, offshore wind power has gradually moved to the deeper sea. To accommodate the dynamic characteristics of floating wind turbines, floating platforms must be supported by dynamic cables. This is a comprehensive cable of transmitting electricity and control signals, with constantly changing position and force status, which can withstand the combined effect of wind, wave, current and other natural environment, to ensure the effective transmission of power and monitoring signals. Compared with foreign industries, Chinas dynamic cable industry started later, with the harsh working conditions and the lack of relevant technology. All these factors restrict the progress of the dynamic cable industry. This paper will provide a detailed introduction to the basic principles, current development status, key technologies, and challenges faced by floating wind turbine dynamic cables, summarizing the latest industry information and technology to support the development of Chinas dynamic cable industry. Related Articles | Metrics | Comments（0）

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Frequency-Domain Modeling and Synchronization Perspective Interaction Mechanism of GFL-GFM Converter System ZONG Haoxiang, ZHANG Chen, BAO Yanhong, WU Feng, CAI Xu Journal of Shanghai Jiao Tong University    2025, 59 (2): 151-164.   DOI: 10.16183/j.cnki.jsjtu.2023.231 Abstract （745）   HTML （21）    PDF（pc） （4555KB）（1134）       Knowledge map    Save Aimed at the small-signal synchronization instability of grid-following (GFL) and grid-forming (GFM) converter system, a synchronization perspective frequency-domain modeling and analysis method is proposed, which can intuitively reveal mechanism and accurately judge multi-machine stability. Specifically, a node admittance matrix considering GFL, GFM converters, and the transmission network is established. Then, the frequency domain modal analysis (FMA) method is adopted to evaluate system instability characteristics. Afterwards, synchronization forward and feedback paths are partitioned at the oscillation source to formulate a synchronization perspective stability model incorporating dynamics of each converter and transmission network. Finally, the proposed method is validated by using a typical two-machine GFL-GFM system. With such method, the stability judgment failure caused by the feedback path aggregation is addressed, and the interaction mechanism between GFL and GFM synchronization dynamics as well as their parameter influences are revealed. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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#br# Journal of Tissue Engineering and Reconstructive Surgery    2024, 20 (6): 702-.   Abstract （213）      PDF（pc） （1165KB）（1131）       Knowledge map    Save Distal arthrogryposis represents a group of congenital malformations with genetic factors， and distal arthrogryposis type 9 is attributed to mutations in the FBN2 gene. Differing from other subtypes where muscular tissues are affected，FBN2 gene mutation primarily impacts the embryonic development of connective tissues， giving rise to distinctive clinical phenotypes. To date， the specific pathogenic mechanisms of this condition remain elusive. In this paper， the recent research progress of distal arthrogryposis type 9 was reviewed， aiming to enhance our understanding of the disease. With the advancement and widespread use of sequencing technologies， the potential discovery of additional mutation loci and patient cohorts holds promise for elucidating genotype-phenotype correlations. Furthermore， there is a pressing need to promote the development of appropriate cellular and animal models to further elucidate its pathogenic mechanisms， offering novel avenues for disease diagnosis and therapeutic interventions. Related Articles | Metrics | Comments（0）

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Knowledge Analysis of Roy’s Sinological Translation: A Case Study on the Complete Translation of Jin Ping Mei SHI Yun Contemporary Foreign Languages Studies    2024, 24 (6): 89-102.   DOI: 10.3969/j.issn.1674-8921.2024.06.008 Abstract （358）   HTML （3）    PDF（pc） （1645KB）（1126）       Knowledge map    Save Research on the Sinologist David Roy has primarily centered on the textual interpretation of his translation, often overlooking the sinological knowledge that influenced his choice of the original Jin Ping Mei. Besides, there are research gaps in understanding the broader context of his sinological translation. This article seeks to examine the translator’s deep motivations through an epistemological lens. It reveals that the previous knowledge circulation of Jin Ping Mei in the Anglophone world is a key factor in shaping Roy’s sinological research. Through multiple interactions with the author, the original text and critics, Roy developed his sinological knowledge of Jin Ping Mei. To reconstruct the original work’s full knowledge system within the broader field of world literature, Roy meticulously traces its sources, translates it word for word, and provides detailed footnotes. In doing so, he preserves the spirit of the original work to the greatest extent and offers a model of thick translation for classical Chinese literature. Reference | Related Articles | Metrics | Comments（0）

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Research and Development of High-Temperature Titanium Alloys for Hypersonic Aircraft CHEN Zhiyong Air & Space Defense    2024, 7 (6): 38-45.   Abstract （2046）      PDF（pc） （1510KB）（1093）       Knowledge map    Save High-temperature titanium alloys allow broad application prospects in hypersonic aircraft. They have ideal lightweight and heat-resistant metallic materials, enhancing the performance and reliability of hypersonic aircraft in extreme flight environments, thus achieving higher speeds and longer flight distances. Considering the services of thermal structures in China’s hypersonic aircraft, starting from the characteristics of high-temperature titanium alloys, this paper has reviewed the latest development status of high-temperature titanium alloys domestically and abroad. It focused on introducing China’s independent research, development and application of 550-650 °C high-temperature titanium alloys. To achieve higher operating temperature requirements, the research and development of a new 700-750 °C high-temperature titanium alloy Ti750S was proposed, and the respective application directions and prospects of high-temperature titanium alloys for future hypersonic aircraft were prospected. Related Articles | Metrics | Comments（0）

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Research and Development of High-Performance Magnesium Alloys for Aerospace Applications SU Yang, HAO Liang, LI Yangxin, ZENG Xiaoqin Air & Space Defense    2024, 7 (6): 1-11.   Abstract （2768）      PDF（pc） （2081KB）（1068）       Knowledge map    Save Magnesium alloys, currently recognized as the lightest structural metallic material in practical engineering applications, have broad prospects for application in the aerospace field, where lightweight demands are increasing. However, the three major bottleneck issues, “relatively low absolute strength”, “ weak deformation capacity”, and “insufficient corrosion resistance”, greatly limit the application scope of traditional magnesium alloys. Based on a review of the latest application status of magnesium alloys in the aerospace field, this paper has elaborated on the research progress of high-strength, tough, and corrosion-resistant magnesium alloys and prospected the development trends of high-performance magnesium alloys in future aerospace applications. Related Articles | Metrics | Comments（0）

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Coordinated Day-Ahead Scheduling and Real-Time Dispatch of a Wind-Thermal-Storage Energy Base Considering Flexibility Interval YANG Yinguo, FENG Yinying, WEI Wei, XIE Pingping, CHEN Yue Journal of Shanghai Jiao Tong University    2025, 59 (9): 1270-1280.   DOI: 10.16183/j.cnki.jsjtu.2023.509 Abstract （1829）   HTML （3）    PDF（pc） （1483KB）（1058）       Knowledge map    Save Large-scale new energy bases in desert, Gobi, and arid regions are key components of new-type power systems in China. Considering factors such as construction cost and carbon emissions, the capacities of thermal power and energy storage in these bases are limited, resulting in constrained flexibility. Consequently, the scheduling and operation of these large bases face significant challenges. This paper proposes a coordinated day-ahead and real-time scheduling method for wind-thermal-storage integrated bases. In the day-ahead stage, the startup/shutdown plans and adjustable output ranges of thermal units are determined based on a rough prediction of wind power. Then, it constructs a wind power accommodation interval based on the adjustable range of thermal power output and the operational constraints of energy storage. In the real-time stage, dispatch strategies are generated using a quantile-based rule according to current wind and solar power output, eliminating the need for high-precision forecasts. It is further demonstrated that the dispatch strategies generated by the quantile rule inherently satisfy system operational constraints. The case study validates the effectiveness of the proposed method for wind-thermal-storage systems. The results demonstrate that the proposed method, which does not rely on point prediction, outperforms rolling optimization methods when the three-step prediction error exceeds 10%. Moreover, the performance of operational scheduling can be improved by enhancing the accuracy of day-ahead or intraday short-term forecasts. The proposed method provides valuable reference for the operation of large-scale new energy bases. Table and Figures | Reference | Related Articles | Metrics | Comments（0）

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Fast Prediction for Roll Motion of a Damaged Ship Based on SVR LIU Han, SU Yan, ZHANG Guoqiang Journal of Shanghai Jiao Tong University    2025, 59 (7): 1041-1049.   DOI: 10.16183/j.cnki.jsjtu.2023.431 Abstract （248）   HTML （2）    PDF（pc） （5899KB）（1036）       Knowledge map    Save ANSYS-AQWA is applied to analyze the rolling motion response of the damaged ship DTMB5415 under various working conditions. The results are compared with those in exiting literature to validate the practicality of the hydrodynamic model. Additionly, the rolling motion response database for the damaged ship is constructed. The support vector regression (SVR) algorithm is used to model the rolling motion database for identification, exploring the relationship between the operating condition factors and coefficients in the equation of roll motion. Finally, a fast prediction model for rolling motion is constructed and validated, offering a significant improvement in the prediction efficiency compared with traditional computational fluid dynamics models. Table and Figures | Reference | Related Articles | Metrics | Comments（0）